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The Internet of Things (IoT) and Big Data are hot topics in the world of intelligence operations and information gathering.
Retaining the general organization and style of its predecessor, this new edition continues to serve as a comprehensive guide to modern and classical methods of statistical computing and computational statistics.
"This edition has a new chapter 5 with two sections on the finite element method, two sections on shallow water waves, and two sections on the driven cavity problem"--Preface.
The book serves as a first introduction to computer programming of scientific applications, using the high-level Python language.
A practical text suitable for an introductory or advanced course in formal methods, this book presents a mathematical approach to modelling and... Læs mere
It features three chapters dealing with point distributions on the sphere, including an extensive treatment of Delsarte–Yudin–Levenshtein linearprogramming methods... Læs mere
The essential text and reference for modern scientific computing now also covers computational geometry, classification and inference, and much more.
Pattern recognition is the construction of algorithms to decode and recognize images or data patterns in so-called random data. It is a vital and growing field with applications... Læs mere
With derivations, exercises, and solutions, this book examines the theoretical aspects of quantum computing and focuses on several... Læs mere
R can be used consistently in the college mathematics classroom. We no longer have to limit ourselves to ``nice'' functions in calculus classes. We can require... Læs mere